Mathematical Oncology

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Robert Noble

Group Leader: Noble Group @ City, University of London

London, United Kingdom

Twitter: @robjohnnoble
Website: https://robjohnnoble.github.io/

Keywords (click a keyword to view other similar labs):
theoretical • cancer evolution • cancer ecology • evolutionary dynamics • evolutionary therapy • spatial heterogeneity • computational biology • statistical inference • agent-based models.

Description: We use data-driven mathematical and computational models to investigate the evolution and ecology of cancer, in collaboration with experimental biologists and clinicians. Our research programme has four main themes: 1) Developing a systematic understanding of somatic evolution; 2) Devising methods for patient-specific tumour progression forecasting; 3) Optimizing treatment strategies that manipulate tumour evolutionary dynamics; 4) Using life history theory and population data to disentangle contributions to cancer risk. Our methods for pursuing these aims include agent-based models, analysis of dynamical systems, stochastic processes, and Bayesian data analysis..

Follow Robert Noble on Twitter: @robjohnnoble.




Artworks by Robert Noble :

Each week, we feature cover artwork submitted by mathematical oncology researchers around the world. Browse the contributions of Robert Noble below. Click to expand each cover, or browse the full collection here.